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machauer-p
/
lisp-net

Image Segmentation
Keras
ONNX
English
tensorflow
medical-imaging
segmentation
in-context-learning
interactive-segmentation
ct
mri
Model card Files Files and versions
xet
Community

Instructions to use machauer-p/lisp-net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use machauer-p/lisp-net with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://machauer-p/lisp-net")
    
  • Notebooks
  • Google Colab
  • Kaggle
lisp-net
225 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
machauer-p's picture
machauer-p
Update README.md
6fd4c29 verified 18 days ago
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  • README.md
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    Update README.md 18 days ago
  • lisp_net_332.keras
    113 MB
    xet
    Upload lisp_net_332.keras 18 days ago
  • lisp_net_332.onnx
    112 MB
    xet
    Upload lisp_net_332.onnx 18 days ago